Alternatives
Products that do what Mondael.com – Institutional Intelligence for Prediction Markets does
This project grew out of frustration of trying to find out the odds of a Hantavirus pandemic. When I went to search for it, I had to wade through sports gambling, and novelty markets that distracted me from just getting a really useful number with context to know if it was accurate. To solve this, my friend and I made mondael.com, which we're using to analyze, and visualize interesting prediction markets in the realm of: Geopolitics, Elections, Macro, Finance, Energy, and Science & Technology. The basic belief is that prediction markets can often move faster than news, but only if the data…
- 1CY
Hi HN! Excited to show off the project we've been working on for the last couple months. We started with an idea for a crazy twist on prediction markets: You come up with a question for traders to predict, and then decide the outcome yourself. For example, you could create a market on “Will my date with [X] go well?” Anyone can bet on it, and the bets create a forecast on the chance your date goes well. After the date is over, you get to judge the result and reward the traders who picked the correct side. There are so many ways for this mechanism to go wrong: the creator of the market can be…
2022 · manifold.markets
- 2PC
Hey HN - my friend and I built Prediction Hunt, a site that aggregates data from prediction markets like Kalshi, Polymarket, and PredictIt into one simple dashboard. It updates every few minutes, shows probabilities for each event, and even highlights arbitrage opportunities when markets disagree. I made it after getting tired of flipping between tabs just to see how each market was pricing the same question. Would love feedback on the product, data accuracy, and any ideas for what you'd want to see next.
Oct 2025 · predictionhunt.com
- 3
- 4NA
2015 · numer.ai
- 5IB
I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!
Jul 2026 · laurentiugabriel.github.io
- 6
- 7SO
Hey HN, I’m Dan. I’ve been working on forecasting for the last six years at Google, then Metaculus, and now at FutureSearch. For a long time, I thought prediction markets, “superforecasting”, and AI forecasting techniques had nothing to say about the stock market. Stock prices already reflect the collective wisdom of investors. The stock market is basically a prediction market already. Recently, though, AI forecasting has gotten competitive with human forecasters. And we’ve found a way of modeling long-term company outcomes that is amenable to our forecasting approach. Iteration by…
Nov 2025
- 8IB
A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents. Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my…
2025 · github.com
- 9
- 10IM
Goal is to be kinda like The Economist meets Metaculus Just a quick MVP, would love to hear any feedback
2023 · baseratetimes.com
- 11AE
I created a bot which analyses Euro 2024 betting odds and performs some basic analysis based on the recent form of each team and provides advice on which odds are under/over-priced by email to all subscribers. The intelligence of the bot is admittedly rather basic but this simple app shows how easy it is to reliably scrape and parse structured data with AI and perform insightful analysis. The initial version of the bot, shown in the notebook took about 15 minutes to build. Disclosure: this bot is built on our new graph based #nocode platform NodeScript.dev, which we've recently brought…
2024 · notebooks.nodescript.dev
- 12PM
Hey HN, I have been working on using the info-gathering and truth-seeking properties of the markets to get more honest reporting on all sort of things. The idea is to have a market game where people can wager a fake currency on what think is true and then, the citizen reviews the crowd-sourced information and makes a judgement about which position has the best case. It is crowd-sourced journalism with a market game. Please let me know what you think and my email is [email protected], if you have any questions.
Sep 2025 · thecitizen.io
- 13
- 14
- 15
- 16
- 17
- 18
Compare prediction market odds across 5 exchanges instantly
Feb 2026 · yourpredictionedge.com
- 19
- 20FF
I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com
- 21
- 22
ImmoLens analysiert Immobilien-Exposés mit KI: versteckte Kosten erkennen, Sanierungsbedarf bewerten, KfW/BAFA/L-Bank Förderungen optimieren. Kostenlos testen.
Jul 2026 · immo-lens.com
- 23FS
Hey HN! I’ve been building Fatebook for the past couple of months. It’s a slack bot to help your team make and track predictions, right where you work. I see forecasting as anti-bullshit technology: - It gives you truthseeking incentives - You communicate your uncertainty as a probability, which is way clearer (70% is better than “probably”) - You can aggregate forecasts to get wisdom of the crowd effects - You can see everyone’s track record, and pay more attention to people who are consistently accurate I’m a fan of prediction markets [0] and forecasting platforms [1]. But predictions on…
2023 · fatebook.io
- 24
Automated weather trading bot for Kalshi prediction markets
Mar 2026 · predictandprofit.gumroad.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →